Velaura AI has successfully raised $110 million in a Series A funding round, valuing the company at over one billion dollars. The round was led by Seligman Ventures, with participation from Capricorn Investment Group, Prosperity7 Ventures, and existing investors including Mayfield, Maverick Silicon, MARA, Premji Invest, and Samsung Catalyst Fund. StepStone Group also participated in the financing.
The capital raised will accelerate the development of the company's portfolio of AI computing power and advance its commercial activities. Velaura is targeting two growing areas: high energy-efficiency data center computing and Physical AI applications.
The company believes that energy consumption is becoming a serious constraint for artificial intelligence infrastructure. Although major cloud providers are actively investing in AI data centers, securing electricity and cooling capacity remains an increasingly complex challenge.
Velaura's core technology is the Titan Core silicon platform. This platform provides patented intellectual property and digital chip design capabilities. The company claims that Titan Core can deliver two to four times higher performance per watt.
The technology is oriented towards mathematical operations used in AI accelerators. It has already been implemented at a commercial scale, deployed in over 30 million ASICs utilizing leading semiconductor manufacturing processes. Velaura also demonstrates data on yield quality and production reliability.
The technology is planned to be applied in AI accelerators, and the architecture will be expanded for Physical AI applications. These applications include intelligent robots, drones, and autonomous systems that operate under strict power and heat dissipation constraints.
Rajiv Kemani, co-founder and CEO of Velaura, noted that further progress in AI will require improving the economic efficiency of computing. He added that the company aims to build a silicon and software foundation for this transition.
As AI infrastructure consumes more electricity, data center operators face the need to improve computing efficiency. Higher energy consumption also entails additional cooling requirements, which can increase the cost of deploying AI capabilities.
Velaura directs its solution at eliminating these limitations at the silicon level, focusing on increasing performance without a proportional increase in energy consumption. Furthermore, the company sees potential beyond traditional data centers, as Physical AI systems require efficient computation to operate in the real world, and robots cannot rely on the same resources as large data centers.
Velaura's leadership team includes executives and engineers from major technology companies such as Apple, NVIDIA, Google, Qualcomm, and Marvell. Their experience spans the development of low-power and high-performance semiconductor platforms and contributions to products shipped to billions of devices.
The new funding will be used to accelerate the development of Titan Core, as well as to expand engineering and customer teams. Additional resources will support deeper collaboration with strategic partners and customers in the fields of AI infrastructure and Physical AI development.
This funding reflects the growing investor interest in energy-efficient AI infrastructure, as power availability is increasingly viewed as the main barrier to AI expansion. Velaura's approach may allow for more computational power to be placed within existing energy constraints and reduce the thermal load on AI infrastructure.
The company positions its technology as suitable for both hyperscale and edge applications, giving it a presence across several segments of the growing AI computing market. Its headquarters in Silicon Valley place it within a dense semiconductor ecosystem.